Four CRM data quality problems that affect revenue.
CRM data quality is not one problem. Correctness, completeness, identity, and freshness fail differently, and each requires different evidence.
Missing context
The opportunity can be perfectly complete and still omit declining product usage, an open escalation, a billing change, or a delayed dependency. The fix is not another required CRM field; it is connecting the source that owns the observation.
Conflicting values
Salesforce may report green health while Gainsight reports red. Contracted ARR may differ from the Stripe run rate. Preserve both source claims, their observed times, and the business definition behind each before deciding which one a workflow should use.
Duplicate and fragmented identities
The same customer appears as a CRM account, billing customer, support organization, product tenant, email domain, and legal entity. Revenue analysis fails when those identifiers are joined differently in every report. Resolve the real-world account once and retain each native ID.
Stale state
A field can be accurate and still describe last quarter. Track when the source observed a value and when the business says it became true. Current-state reporting without history hides when risk first appeared and whether the team could have acted sooner.
